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Qwen3 32B Abliterated by roslein

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Qwen3 32B Abliterated is an open-source language model by roslein. Features: 32b LLM, VRAM: 65.8GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.2.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-32b   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/roslein/Qwen3-32B-abliterated 

Qwen3 32B Abliterated Benchmarks

LLME Score: 0.20496
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 32B Abliterated (roslein/Qwen3-32B-abliterated)
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Qwen3 32B Abliterated Parameters and Internals

LLM NameQwen3 32B Abliterated
Repository 🤗https://huggingface.co/roslein/Qwen3-32B-abliterated 
Base Model(s)  Qwen3 32B   Qwen/Qwen3-32B
Model Size32b
Required VRAM65.8 GB
Updated2026-04-03
Maintainerroslein
Model Typeqwen3
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...ll Qwen3 32B Preview7 QAT 200K195K / 65.8 GB93
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Qwen3 32B Multi Sft 50040K / 65.5 GB900
Note: green Score (e.g. "73.2") means that the model is better than roslein/Qwen3-32B-abliterated.

Rank the Qwen3 32B Abliterated Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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